Faculty

polonik-wolfgang

Wolfgang Polonik

(RTG-PI)

wpolonik@ucdavis.edu

Professor of Statistics
burman-prabir

Prabir Burman

(RTG co-PI)

pburman@ucdavis.edu

Professor of Statistics
mueller-hans

Hans-Georg Müller

(RTG co-PI)

hgmueller@ucdavis.edu

Hans-Georg Müller is Professor of Statistics at University of California, Davis. His Areas of Interest includes Statistical Methodology and Modeling,
Mathematical Statistics, Biostatistics, Data Analysis. His research areas include Functional Data Analysis, Stochastic Process Models, Empirical Dynamics. His areas of applications include Biodemography and Demography, Genetics, Evolution and Ecology, Life Sciences and Social Sciences
lee-thomas

Thomas Lee

(RTG co-PI)

tcmlee@ucdavis.edu

Thomas C. M. Lee is the Chair of the Department of Statistics at the University of California, Davis. He received the B.App.Sc. (Math) degree in 1992, and the B.Sc. (Hons) (Math) degree with University Medal in 1993, all from the University of Technology, Sydney, Australia. In 1997 he completed a Ph.D. degree jointly at Macquarie University and CSIRO Mathematical and Information Sciences, Sydney, Australia. Before joining UC Davis, he had held regular faculty positions at the Chinese University of Hong Kong and Colorado State University. His research interests include nonparametric and semiparametric modeling, statistical image and signal processing, machine learning, and statistical applications in other scientific disciplines.

peng-jie

Jie Peng

(RTG co-PI)

jiepeng@ucdavis.edu

Jie Peng is Professor of Statistics at University of California, Davis. She obtained her Bachelor’s degree in Mathematics in 2000 from Peking University and PhD in Statistics in 2004 from Stanford University. Her research interests include high dimensional inference, graphical models, functional data analysis, statistics genomics, and brain imaging.
anderes-ethan

Ethan Anderes

(RTG affiliated faculty)

ebanderes@ucdavis.edu

Ethan Andere is an Associate Professor of Statistics which research interests in random fields, spatial statistics and applications to cosmology and astronomy.
aue-alex

Alexander Aue

(RTG affiliated faculty)

aaue@ucdavis.edu

Alexander Aue is an Associate Professor in the Department of Statistics. His research interests are primarily in time series analysis and include developing new methodology for high-dimensional and functional time series, understanding the structure of financial time series, and structural breaks analysis for correlated data.
paul-debashis

Debashis Paul

(RTG affiliated faculty)

debpaul@ucdavis.edu

Debashis Paul is Associate Professor in the Department of Statistics. He joined UC Davis in 2005 after obtaining his PhD in Statistics from Stanford University (Adviser: Iain M. Johnstone). His research interests include High-dimensional Inference, Functional Data Analysis, Nonparametric Function Estimation, Neuroimaging, Random
Dynamical Systems and Random Matrix Theory.
temple-lang-duncan

Duncan Temple Lang

(RTG affiliated faculty)

Professor of Statistics

James Carey

(RTG affiliated faculty)

jrcarey@ucdavis.edu

Professor of Entomology

Vladimir Filkov

(RTG affiliated faculty)

filkov@cs.ucdavis.edu

Associate Professor of Computer Science

Lloyd Knox

(RTG affiliated faculty)

lknox@ucdavis.edu

Professor of Physics & Cosmology
saito-naoki

Naoki Saito

(RTG affiliated faculty)

saito@math.ucdavis.edu

Naoki Saito is Professor of Mathematics. He 
received the B.Eng. and the M.Eng. degrees in mathematical engineering from the University of Tokyo, Japan, in 1982 and 1984, respectively.
In 1984, he joined Nippon Schlumberger K.K., Fuchinobe, Japan, and in 1986, he transferred to Schlumberger-Doll Research (SDR), Ridgefield, CT where he worked as a research scientist until 1997. While working at SDR, he also
pursued his Ph.D. degree in applied mathematics and received it from Yale University in 1994. In 1997, he joined the Department of Mathematics at
the University of California, Davis, where he is currently a professor. His research interests include: applied and computational harmonic an
alysis; feature extraction; pattern recognition; data analysis; Laplacian eigenvalue problems; elliptic boundary value problems; data compression; statistical signal processing and analysis; human and machine perception; and geophysical inverse problems.